Senior Human-Centered AI Researcher, Personal Intelligence & Experiences

At Apple we create intuitive intelligent experiences that enrich peoples lives. We are seeking a Senior Human-Centered AI Researcher to help shape the next generation of software experiences across Apples this role you will lead research that advances our understanding of how people interact with both emerging AI capabilities and established software experiences. Working closely with engineering design marketing data science and AI/ML modeling teams you will define research strategies uncover user needs and expectations and translate behavioral insights into actionable recommendations that influence product direction design quality and ultimately shape the end customer experience.

Our team conducts human-centered research throughout the software and AI-feature development lifecycle from understanding user needs and expectations to evaluating early prototypes and assessing product experience quality. We combine rigorous qualitative and quantitative methods to understand how people perceive interact with and experience software including intelligent and adaptive ideal candidate brings deep expertise in experimental design statistical analysis and mixed-methods research with the scientific judgment to select and adapt methodologies to complex product questions. You will independently lead research initiatives across multiple product areas collaborating with cross-functional partners to identify critical research questions establish meaningful evaluation criteria and translate findings into actionable product role requires the ability to communicate complex findings to diverse audiences including senior leadership and executives and directly influence product strategy and development priorities. You will also contribute to research strategy advance methodological practices and mentor other researchers.

Define and lead human-centered research strategies across multiple software and AI-powered experiences identifying critical research questions and opportunities to inform product and execute rigorous qualitative quantitative and mixed-methods studies including controlled experiments surveys usability evaluations interviews longitudinal studies and Ecological Momentary Assessment (EMA).nApply experimental design principles and appropriate statistical techniques to evaluate user behavior perceptions expectations and experience research throughout the software and AI-feature development lifecycle from early user needs and expectations research through prototype evaluation feature refinement and product quality human-centered evaluation frameworks experience metrics and success criteria to assess usability usefulness reliability and perceived quality of software and intelligent closely with engineering design product marketing data science and AI/ML modeling teams to align research objectives with product and technical priorities inform tradeoffs and guide feature insights from qualitative research self-reported measures experimental data and behavioral telemetry to develop a comprehensive understanding of user complex research findings into clear compelling presentations and recommendations for cross-functional teams senior leadership and executives directly influencing product direction and development technical and methodological leadership across multiple projects mentoring researchers developing scalable research approaches and advancing research practices across the organization.

PhD in Cognitive Science Experimental Psychology Neuroscience Human-Computer Interaction or a related field with substantial training in quantitative and qualitative research.n5 years of relevant experience conducting human-centered research in technology or software product training and demonstrated expertise in experimental design including hypothesis development study design sampling strategies randomization measurement and interpretation of experimental proficiency in statistics including t-tests analysis of variance (ANOVA) regression models clustering techniques factor analysis mixed-effects models repeated-measures analysis or other multivariate approaches with the ability to select apply and interpret appropriate analyses for complex research expertise in qualitative and quantitative research methodologies including survey design usability testing Ecological Momentary Assessment (EMA) diary studies field experiments or other longitudinal and in-situ research programs.

Experience leveraging AI-assisted tools and workflows across the research lifecycle including but not limited to research design data processing qualitative and quantitative analysis and synthesis of findings with the ability to critically evaluate AI-generated outputs for accuracy and researching AI-powered products generative AI intelligent systems or emerging software interaction combining behavioral telemetry self-reported measures and qualitative findings to inform product ability to translate complex research findings into actionable recommendations and communicate effectively through presentations to senior leadership and executive ability to influence product strategy navigate ambiguous research questions and provide methodological mentorship to other researchers.

Required Experience:

Senior IC